Application Of Statistical Methods In Various Disciplines


Application Of Statistical Methods In Various Disciplines
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Application Of Statistical Methods In Various Disciplines


Application Of Statistical Methods In Various Disciplines
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Author : Nazrina Aziz
language : en
Publisher: UUM Press
Release Date :

Application Of Statistical Methods In Various Disciplines written by Nazrina Aziz and has been published by UUM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


As Leonardo da Vinci once said, “Simplicity is the ultimate sophistication.” This book is evidence of how diverse problems can be solved using basic statistical methods; from the minute molecule level to widespread epidemic issues, data analysis can be accomplished using basic statistical methods with sound scientific thinking. This book is a valuable resource for students, academics and practitioners seeking simple yet effective solutions to real problems. The six chapters presented are indeed worthy additions to the literature, which will potentially enhance understanding of statistics and its applications. Statistics is a scientific way of unravelling the story behind the data – enjoy the story!



Application And Role Of Statistics In Multi Disciplinary Research


Application And Role Of Statistics In Multi Disciplinary Research
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Author : Dr. Sanjay Tiwari, Vinay Kumar, Dr. Ajai Pal Sharma & Dr. Anand Sharma
language : en
Publisher: K.K. Publications
Release Date : 2021-09-09

Application And Role Of Statistics In Multi Disciplinary Research written by Dr. Sanjay Tiwari, Vinay Kumar, Dr. Ajai Pal Sharma & Dr. Anand Sharma and has been published by K.K. Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with Social Science categories.


Application and Role of Statistics in Multi-Disciplinary Research Advancement in research requires multi-disciplinary orientation for providing sustainable solutions to political, economic, social, psychological or international problems and statistics has emerged as a separate discipline for enriching other disciplines of study. The purpose of bringing this book is to disseminate the dissections and cross dissections of multi-disciplinary philosophy and mission of the Central University of Haryana. The present edited book is a compilation of selected research papers which were presented during a Two Days National Seminar on Application and Role of Statistics in Multi-Disciplinary Research organised in the Central University of Haryana on 23rd-24th Oct. 2013. This volume comprises mainly five sections. Section-1 comprises of papers in the areas of 'Application of Statistics in Embryonic Economic Issues' dealing with issues of crop diversification, stock market volatility due to macro-economic factors and the food products industry. Section-2 includes research articles in 'Role and Application of Statistics in Business Decision Areas' which focus on the issues related to financial inclusion, Islamic finance, risk in e-transaction and retention policy. Section-3 covers the articles in the areas of “Emerging Dimensions of Statistics in Various Sectors” covering the use of statistics in medical science, engineering and designing. Sections-4 is composed of the papers from the areas of 'Statistics in Social Science, Policy Planning and Governance” where papers emphasising on skill inclusion in degree curricula, co-operative banking and statistical challenges in law and politics are included. The last Section-5 covers the research articles from the areas of 'Statistics in Management of Financial Services in which empirical articles on service quality in banks and health insurance aspects are added from perceptual viewpoints. Though the papers have been selected from different disciplines of study, an attempt is made to reflect the cross-disciplinary ideological churning testified by statistical analysis-empirical as well as conceptual. Overall this edited volume is assimilation, dissection and cross dissection of various disciplines using statistical tools and techniques. Hope this edited version will serve the purpose of scholars, researchers and teachers to navigate into a deep sea of multi-disciplinary insights.



Statistical Methods


Statistical Methods
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Author : Rudolf J. Freund
language : en
Publisher: Elsevier
Release Date : 2003-01-07

Statistical Methods written by Rudolf J. Freund and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-07 with Mathematics categories.


This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters



Statistics In The Social Sciences


Statistics In The Social Sciences
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Author : Stanislav Kolenikov
language : en
Publisher: John Wiley & Sons
Release Date : 2010-02-22

Statistics In The Social Sciences written by Stanislav Kolenikov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-22 with Mathematics categories.


A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.



Applied Statistics For Social And Management Sciences


Applied Statistics For Social And Management Sciences
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Author : Abdul Quader Miah
language : en
Publisher: Springer
Release Date : 2016-02-29

Applied Statistics For Social And Management Sciences written by Abdul Quader Miah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-29 with Social Science categories.


This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.



Applications In Statistical Computing


Applications In Statistical Computing
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Author : Nadja Bauer
language : en
Publisher: Springer Nature
Release Date : 2019-10-12

Applications In Statistical Computing written by Nadja Bauer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-12 with Computers categories.


This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.



Statistical Methods For Biostatistics And Related Fields


Statistical Methods For Biostatistics And Related Fields
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Author : Wolfgang Härdle
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-24

Statistical Methods For Biostatistics And Related Fields written by Wolfgang Härdle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-24 with Medical categories.


This book covers a wide range of recent statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. The contributed papers, from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their application in a real case study.



Statistical Methods For Practice And Research


Statistical Methods For Practice And Research
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Author :
language : en
Publisher:
Release Date : 2009

Statistical Methods For Practice And Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with SPSS (Computer file) categories.


There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply various statistical tools for.



Statistics And Probability


Statistics And Probability
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Author : Azhar Ul Haque Sario
language : en
Publisher: Azhar UL Haque Sario
Release Date : 2024-03-10

Statistics And Probability written by Azhar Ul Haque Sario and has been published by Azhar UL Haque Sario this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-10 with Business & Economics categories.


Uncover the Hidden Language of Data: A Comprehensive Guide to Statistics and Probability Statistics and probability provide the essential tools for understanding, interpreting, and harnessing the power of data. This comprehensive textbook delves into the core concepts of statistical analysis and probabilistic reasoning, offering a clear and accessible journey through both descriptive and inferential methods. Mastering the Fundamentals The book begins by laying a solid foundation in descriptive statistics, where you'll learn how to summarize and visualize data effectively. You'll then explore the fundamental principles of probability, discovering how to quantify uncertainty and model random events. Building on this knowledge, you'll examine random variables and their distributions, the cornerstones of more advanced statistical techniques. Delving into Statistical Inference Transitioning into inferential statistics, you'll master the art of drawing conclusions about populations based on sample data. You'll learn about sampling distributions, confidence intervals, and the logic behind hypothesis testing. The text covers essential techniques such as chi-square tests for categorical data and linear regression for exploring relationships between variables. Expanding Your Statistical Toolkit To handle more complex scenarios, the book introduces you to powerful tools like multiple regression, ANOVA (Analysis of Variance), and nonparametric statistics. You'll then gain a solid introduction to the fundamentals of Bayesian statistics, an alternative framework for reasoning about uncertainty and updating beliefs based on evidence. Finally, the text provides valuable insights into time series analysis and statistical process control, methods vital for analyzing trends and ensuring quality in various settings. Practical Applications Across Diverse Fields This textbook emphasizes real-world relevance, demonstrating the value of statistics in diverse domains. You'll explore applications in business and economics, social sciences, natural sciences, engineering, and the rapidly evolving field of data science and big data. Key Features: Clear and concise explanations: Breaks down complex concepts into easy-to-understand terms. Abundant examples and practice problems: Helps solidify your understanding and build practical skills. Applications across multiple disciplines: Illustrates the wide applicability of statistical methods. Emphasis on both foundational concepts and advanced techniques: Prepares you for further study and real-world problem-solving. Ideal Audience: This book is an excellent resource for: Undergraduate students in statistics, mathematics, data science, and related fields. Professionals seeking to enhance their data analysis proficiency for decision-making. Researchers in various disciplines who need to analyze and interpret data effectively. By the end of this comprehensive guide, you'll possess the skills and confidence to extract meaningful insights from data, make informed decisions, and apply statistical thinking rigorously in your academic, professional, and personal endeavors.



Understanding And Applying Basic Statistical Methods Using R


Understanding And Applying Basic Statistical Methods Using R
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Author : Rand R. Wilcox
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-16

Understanding And Applying Basic Statistical Methods Using R written by Rand R. Wilcox and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-16 with Social Science categories.


Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.